Google Cloud ACTION
Logging - Read Log Entries
Read log entries from Google Cloud Logging, optionally scoped to a single log via
Log name. The Log name, Severity, and Filter inputs are combined with AND, and up to Max Results entries are returned. See the documentation- Action
- Read only
- API key
- SDK
- MCP
IMPLEMENTATION
Call this tool
Connect a user's Google Cloud account once, then configure and run Logging - Read Log Entries from your backend or agent.
import { PipedreamClient } from "@pipedream/sdk"
const pd = new PipedreamClient({
projectId: process.env.PIPEDREAM_PROJECT_ID!,
clientId: process.env.PIPEDREAM_CLIENT_ID!,
clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
projectEnvironment: "production",
})
const result = await pd.actions.run({
id: "google_cloud-logging-read-log-entries",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
google_cloud: { authProvisionId: "apn_xxxxxxx" },
logName: "Log name",
severity: "Severity",
},
})
console.log(result)curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
-H "Content-Type: application/json" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}" \
-d '{
"external_user_id": "{external_user_id}",
"id": "google_cloud-logging-read-log-entries",
"configured_props": {
"google_cloud": { "authProvisionId": "apn_xxxxxxx" },
"logName": "Log name",
"severity": "Severity"
}
}'// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
new URL("https://remote.mcp.pipedream.net/v3"),
{
requestInit: {
headers: {
Authorization: `Bearer ${accessToken}`,
"x-pd-project-id": "{project_id}",
"x-pd-environment": "production",
"x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
"x-pd-app-slug": "google_cloud",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
name: "google_cloud-logging-read-log-entries",
arguments: {
logName: "Log name",
severity: "Severity",
},
})SCHEMA
Inputs
Pipedream supplies the connected account. Your application provides the operation-specific values below. Dynamic inputs are resolved against that user's account.
| Property | Type | Description |
|---|---|---|
logName Log name | string | Restrict results to a single log, e.g. my-log. Run the Logging - List Logs action to find valid log names. Leave empty to read across all logs in the project. Optional |
severity Severity | string | Restrict results to entries of this severity. See the documentation Optional |
filter Filter | string | An advanced logs filter to further narrow results, e.g. severity>=ERROR AND timestamp>="2026-01-01T00:00:00Z". Combined with the Log name and Severity inputs using AND. See the documentation Optional |
orderBy Order By | string | The order in which to return entries, based on the entry timestamp. Defaults to newest first. Optional |
maxResults Max Results | integer | The maximum number of entries to return. Optional |
REFERENCE
Tool details
Behavior hints are published with the component in the Pipedream registry and surface as MCP tool annotations, so an agent can reason about a tool before it calls it.
- Registry key
- google_cloud-logging-read-log-entries
- Version
- 0.0.2
- App
- Google Cloud
- Authentication
- API key
- Read-only
- Yes
- Destructive
- No
- Open world
- Yes
- Source
- View on GitHub ↗